Computer Vision-Guided Virtual Craniofacial Surgery A Graph-Theoretic and Statistical Perspective

Chowdhury, Ananda S.; Springer, Berlin;
Computer Vision-Guided Virtual Craniofacial Surgery A Graph-Theoretic and Statistical Perspective

Computer Vision-Guided Virtual Craniofacial Surgery A Graph-Theoretic and Statistical Perspective

Chowdhury, Ananda S.; Springer, Berlin;
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Predpokladané dodanie v piatok, 15. februára 2019
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Recent advances in both scanning instruments and supporting software have transitioned their impact from merely outside the operating room to inside the surgical theater, making intra-operative 3D imaging a reality.
This unique text/reference examines the important application of computer vision and pattern recognition to medical science, with a specific focus on reconstructive craniofacial surgery. The book discusses in depth the two integral components of reconstructive surgery; fracture detection, and reconstruction from broken bone fragments. In addition to supporting its application-oriented viewpoint with detailed coverage of theoretical issues, the work incorporates useful algorithms and relevant concepts from both graph theory and statistics.
Topics and features: presents practical solutions for virtual craniofacial reconstruction and computer-aided fracture detection, which can also be applied to related fields such as radiology, orthopedic surgery and histopathology; discusses issues of image registration, object reconstruction, combinatorial pattern matching, and detection of salient points and regions in an image; investigates the concepts of maximum-weight graph matching, maximum-cardinality minimum-weight matching for a bipartite graph, determination of minimum cut in a flow network, and construction of automorphs of a cycle graph; examines the techniques of Markov random fields, hierarchical Bayesian restoration, Gibbs sampling, and Bayesian inference; includes a Foreword by Dr. Jack C. Yu, Milford B. Hatcher Professor of Surgery at the Medical College of Georgia, Augusta, GA, USA.
This practical text will be of great resource value to researchers and graduate students from a broad spectrum of disciplines including computer science, electrical engineering, biomedical engineering and statistics. Clinical practitioners such as plastic surgeons, orthopedic surgeons and radiologists will also find much of interest in the book.p
EAN
9780857292957
ISBN
0857292951
Typ produktu
Hardback
Vydavateľ
Springer, Berlin
Stránky
166
Jazyk
English
Rozmery
235 x 155
Čitatelia
Professional & Scholarly
Autori
Bhandarkar, Suchendra M.; Chowdhury, Ananda S.
Ilustrácie
XXVI, 166 p.
Edícia
2011
Séria
Advances in Computer Vision and Pattern Recognition
PRODUCT UPDATE
Súvisiace produkty
12 125 700
kníh
2 154 237
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